Abstract
This paper proposes augmented Lagrange Hopfield network (ALHN) for solving economic dispatch (ED) problems. The proposed ALHN is a new improvement of continuous Hopfield neural network by using augmented Lagrange function as its energy function. The ALHN is applied for solving different ED problems consisting of classical ED, ED with fuel constraint, ED with piecewise quadratic fuel cost, ED with prohibited operating zones, combined heat and power ED, and ED for hydrothermal systems. The proposed method has been tested on different systems and the obtained results are compared to those from other methods. The result comparison has shown that the proposed ALHN can obtain less total costs and faster computational times than many others. Therefore, ALHN could be a very powerful method for solving the ED problems.
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